An improved genetic programming technique for the classification of Raman spectra

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摘要

The aim of this study is to evaluate the effectiveness of genetic programming relative to that of more commonly-used methods for the identification of components within mixtures of materials using Raman spectroscopy. A key contribution of the genetic programming technique proposed in this research is that it explicitly aims to optimise the certainty levels associated with discovered rules, so as to minimize the chance of misclassification of future samples.

论文关键词:Machine learning,Genetic programming,Neural networks,Spectroscopy,Raman

论文评审过程:Received 26 October 2004, Accepted 30 October 2004, Available online 11 April 2005.

论文官网地址:https://doi.org/10.1016/j.knosys.2004.10.001